Contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques
<p>In Computational aeroacoustics, hybrid approaches first resolve the source and nearfield regions of the flow field by employing Reynolds Averaged Navier-Stokes (RANS) equations, Large Eddy Simulations (LES) or Direct Numerical Simulations (DNS).The source region data is used to form source...
Main Author: | |
---|---|
Other Authors: | |
Format: | Others |
Language: | en |
Published: |
MSSTATE
2018
|
Subjects: | |
Online Access: | http://sun.library.msstate.edu/ETD-db/theses/available/etd-04302018-153752/ |
id |
ndltd-MSSTATE-oai-library.msstate.edu-etd-04302018-153752 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-MSSTATE-oai-library.msstate.edu-etd-04302018-1537522019-05-15T18:44:01Z Contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques Sassanis, Vasileios Aerospace Engineering <p>In Computational aeroacoustics, hybrid approaches first resolve the source and nearfield regions of the flow field by employing Reynolds Averaged Navier-Stokes (RANS) equations, Large Eddy Simulations (LES) or Direct Numerical Simulations (DNS).The source region data is used to form source terms, which are, in turn, applied to either empirical models or equations linearized around a mean flow. An acoustic analogy type of model is used to propagate the acoustics to the farfield regions.</p> <p>The aim of this research is two-fold: to introduce and test a hybrid acoustic analogy, based on a coupling between the Navier-Stokes equations, applied in the source region, and the Non-linear Euler (NLE) equations applied in the acoustic propagation region; and to test and validate a recently derived generalized acoustic analogy theory in the framework of jet noise with acoustic source information obtained from RANS or LES.</p> <p>In the first part, the coupling between the Navier-Stokes and the NLE equations is accomplished via a buffer region, which is used to interpolate and penalize the flow variables of interest from the source region. The penalized flow variables are then applied as source terms in the NLE equations, to calculate the acoustic propagation. The non-linear Euler equations, discretized using high-accurate dispersion-relation preserving schemes constitute a very efficient approach for jet noise predictions in complex environments, especially for supersonic and hypersonic jets, where nonlinearities may propagate over long distances.</p> <p>In the second part, a RANS- or LES-informed model, which is used to provide data for Goldstein's generalized acoustic analogy, is presented. The generalized acoustic analogy of Goldstein is considered, wherein the effects of non-parallelism are taken into account and an asymptotic expansion is utilized to simplify the adjoint Green function equations. The use of the adjoint Green's function leads to a simple model for jet noise predictions for low frequencies and small observation angles, in the linear regime. Both approaches are extensively tested and validated against numerous benchmark problems and applications.</p> David S. Thompson Jonathan M. Janus Adrian Sescu Edward A. Luke MSSTATE 2018-08-14 text application/pdf http://sun.library.msstate.edu/ETD-db/theses/available/etd-04302018-153752/ http://sun.library.msstate.edu/ETD-db/theses/available/etd-04302018-153752/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, Dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Mississippi State University Libraries or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, Dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, Dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, Dissertation, or project report. |
collection |
NDLTD |
language |
en |
format |
Others
|
sources |
NDLTD |
topic |
Aerospace Engineering |
spellingShingle |
Aerospace Engineering Sassanis, Vasileios Contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques |
description |
<p>In Computational aeroacoustics, hybrid approaches first resolve the source and nearfield regions of the flow field by employing Reynolds Averaged Navier-Stokes (RANS) equations, Large Eddy Simulations (LES) or Direct Numerical Simulations (DNS).The source region data is used to form source terms, which are, in turn, applied to either empirical models or equations linearized around a mean flow. An acoustic analogy type of model is used to propagate the acoustics to the
farfield regions.</p>
<p>The aim of this research is two-fold: to introduce and test a hybrid acoustic analogy, based on a coupling between the Navier-Stokes equations, applied in the source region, and the Non-linear Euler (NLE) equations applied in the acoustic propagation region; and to test and validate a recently derived generalized acoustic analogy theory in the framework of jet noise with acoustic source information obtained from RANS or LES.</p>
<p>In the first part, the coupling between the Navier-Stokes and the NLE equations is accomplished via a buffer region, which is used to interpolate and penalize the flow variables of interest from the source region. The
penalized flow variables are then applied as source terms in the NLE equations, to calculate the acoustic propagation. The non-linear Euler equations, discretized using high-accurate dispersion-relation preserving
schemes constitute a very efficient approach for jet noise predictions in complex environments, especially for supersonic and hypersonic jets, where nonlinearities may propagate over long distances.</p>
<p>In the second part, a RANS- or LES-informed model, which is used to provide data for Goldstein's generalized acoustic analogy, is presented. The generalized acoustic analogy of Goldstein is considered, wherein the effects of non-parallelism are taken into account and an asymptotic expansion is utilized to simplify the adjoint Green function equations. The use of the adjoint Green's function leads to a simple model for jet noise predictions for low frequencies and small observation angles, in the linear regime. Both approaches are extensively tested and validated against numerous benchmark problems and applications.</p>
|
author2 |
David S. Thompson |
author_facet |
David S. Thompson Sassanis, Vasileios |
author |
Sassanis, Vasileios |
author_sort |
Sassanis, Vasileios |
title |
Contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques |
title_short |
Contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques |
title_full |
Contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques |
title_fullStr |
Contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques |
title_full_unstemmed |
Contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques |
title_sort |
contributions to jet noise prediction and characterisation by means of hybrid acoustic analogy techniques |
publisher |
MSSTATE |
publishDate |
2018 |
url |
http://sun.library.msstate.edu/ETD-db/theses/available/etd-04302018-153752/ |
work_keys_str_mv |
AT sassanisvasileios contributionstojetnoisepredictionandcharacterisationbymeansofhybridacousticanalogytechniques |
_version_ |
1719086108293201920 |